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机构地区:[1]上海电力学院电子与信息工程学院,上海200090
出 处:《上海电力学院学报》2013年第3期303-305,共3页Journal of Shanghai University of Electric Power
摘 要:给出了基于霍夫变换的平行线检测算法,能初步定位球门.对二值图像竖直方向的目标点进行累加,并运用直方图分析,对球门作进一步定位.利用三基色直方图进行镜头分割,并用基于平行线检测的球门定位算法进行精彩片断的选择.经过对多个视频进行精确定位的结果表明,球门检出率可达90%以上.The detection of parallel lines based on the Hough transform is proposed to calculate the initial positioning for the goal. Furthermore, the value of every pixel on the whole image is accumulated along the vertical direction to get the accurate location of the goal. Finally, three-color histogram is designed for shot segmentation, and the proposed framework is used for selecting RGB color highlights. The general detection of soccer goal video experimental results show that the rate of detection goal is higher than 90%.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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